C5: An evaluation framework for assessing feature vectors' quality with respect to
both the ontology and the text corpus used.
In paper P4, we proposed a framework that uses both intrinsic and extrinsic
measures to evaluate the quality of the associations. The intrinsic measure
evaluates the associations with respect to the ontology used, while the extrinsic
measure utilises the vast amount of information found on the Web to perform the
evaluation. In addition, since the Web is constantly changing, a measure to
account for the drifting effect of the Web was proposed. In paper P5, we
validated this evaluation framework with real users.